I am trying to achieve an animated gradient effect that changes values over time based on the current seconds. I am also using AVPlayer and AVMutableVideoComposition along with custom instruction and class to generate the effect. I didn't want to load any video file, but rather generate a custom video with my own set of instructions. I used Metal Compute shaders to generate the effects and make the video to be 20 seconds. However, when I run the code, I get a frozen player with the gradient applied, but when I try to play the video, I get this warning in the console :- Visual isTranslatable: NO; reason: observation failure: noObservations Here is the screenshot :- My entire code :- import AVFoundation import Metal class GradientVideoCompositorTest: NSObject, AVVideoCompositing { var sourcePixelBufferAttributes: [String: Any]? = [ kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_32BGRA ] var requiredPixelBufferAttributesForRenderContext: [String: Any] = [ kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_32BGRA ] private var renderContext: AVVideoCompositionRenderContext? private var metalDevice: MTLDevice! private var metalCommandQueue: MTLCommandQueue! private var metalLibrary: MTLLibrary! private var metalPipeline: MTLComputePipelineState! override init() { super.init() setupMetal() } func setupMetal() { guard let device = MTLCreateSystemDefaultDevice(), let queue = device.makeCommandQueue(), let library = try? device.makeDefaultLibrary(), let function = library.makeFunction(name: "gradientShader") else { fatalError("Metal setup failed") } self.metalDevice = device self.metalCommandQueue = queue self.metalLibrary = library self.metalPipeline = try? device.makeComputePipelineState(function: function) } func renderContextChanged(_ newRenderContext: AVVideoCompositionRenderContext) { renderContext = newRenderContext } func startRequest(_ request: AVAsynchronousVideoCompositionRequest) { guard let outputPixelBuffer = renderContext?.newPixelBuffer(), let metalTexture = createMetalTexture(from: outputPixelBuffer) else { request.finish(with: NSError(domain: "com.example.gradient", code: -1, userInfo: nil)) return } var time = Float(request.compositionTime.seconds) renderGradient(to: metalTexture, time: time) request.finish(withComposedVideoFrame: outputPixelBuffer) } private func createMetalTexture(from pixelBuffer: CVPixelBuffer) -> MTLTexture? { var texture: MTLTexture? let width = CVPixelBufferGetWidth(pixelBuffer) let height = CVPixelBufferGetHeight(pixelBuffer) let textureDescriptor = MTLTextureDescriptor.texture2DDescriptor( pixelFormat: .bgra8Unorm, width: width, height: height, mipmapped: false ) textureDescriptor.usage = [.shaderWrite, .shaderRead] CVPixelBufferLockBaseAddress(pixelBuffer, .readOnly) if let textureCache = createTextureCache(), let cvTexture = createCVMetalTexture(from: pixelBuffer, cache: textureCache) { texture = CVMetalTextureGetTexture(cvTexture) } CVPixelBufferUnlockBaseAddress(pixelBuffer, .readOnly) return texture } private func renderGradient(to texture: MTLTexture, time: Float) { guard let commandBuffer = metalCommandQueue.makeCommandBuffer(), let commandEncoder = commandBuffer.makeComputeCommandEncoder() else { return } commandEncoder.setComputePipelineState(metalPipeline) commandEncoder.setTexture(texture, index: 0) var mutableTime = time commandEncoder.setBytes(&mutableTime, length: MemoryLayout<Float>.size, index: 0) let threadsPerGroup = MTLSize(width: 16, height: 16, depth: 1) let threadGroups = MTLSize( width: (texture.width + 15) / 16, height: (texture.height + 15) / 16, depth: 1 ) commandEncoder.dispatchThreadgroups(threadGroups, threadsPerThreadgroup: threadsPerGroup) commandEncoder.endEncoding() commandBuffer.commit() } private func createTextureCache() -> CVMetalTextureCache? { var cache: CVMetalTextureCache? CVMetalTextureCacheCreate(kCFAllocatorDefault, nil, metalDevice, nil, &cache) return cache } private func createCVMetalTexture(from pixelBuffer: CVPixelBuffer, cache: CVMetalTextureCache) -> CVMetalTexture? { var cvTexture: CVMetalTexture? let width = CVPixelBufferGetWidth(pixelBuffer) let height = CVPixelBufferGetHeight(pixelBuffer) CVMetalTextureCacheCreateTextureFromImage( kCFAllocatorDefault, cache, pixelBuffer, nil, .bgra8Unorm, width, height, 0, &cvTexture ) return cvTexture } } class GradientCompositionInstructionTest: NSObject, AVVideoCompositionInstructionProtocol { var timeRange: CMTimeRange var enablePostProcessing: Bool = true var containsTweening: Bool = true var requiredSourceTrackIDs: [NSValue]? = nil var passthroughTrackID: CMPersistentTrackID = kCMPersistentTrackID_Invalid init(timeRange: CMTimeRange) { self.timeRange = timeRange } } func createGradientVideoComposition(duration: CMTime, size: CGSize) -> AVMutableVideoComposition { let composition = AVMutableComposition() let instruction = GradientCompositionInstructionTest(timeRange: CMTimeRange(start: .zero, duration: duration)) let videoComposition = AVMutableVideoComposition() videoComposition.customVideoCompositorClass = GradientVideoCompositorTest.self videoComposition.renderSize = size videoComposition.frameDuration = CMTime(value: 1, timescale: 30) // 30 FPS videoComposition.instructions = [instruction] return videoComposition } #include <metal_stdlib> using namespace metal; kernel void gradientShader(texture2d<float, access::write> output [[texture(0)]], constant float &time [[buffer(0)]], uint2 id [[thread_position_in_grid]]) { float2 uv = float2(id) / float2(output.get_width(), output.get_height()); // Animated colors based on time float3 color1 = float3(sin(time) * 0.8 + 0.1, 0.6, 1.0); float3 color2 = float3(0.12, 0.99, cos(time) * 0.9 + 0.3); // Linear interpolation for gradient float3 gradientColor = mix(color1, color2, uv.y); output.write(float4(gradientColor, 1.0), id); }

Our streaming app uses FairPlay-protected video streams, which previously worked fine when using AVAssetResourceLoaderDelegate to provide CKCs. Recently, we migrated to AVContentKeySession, and while everything works as expected during regular playback, we encountered an issue with AirPlay. Our CKC has a 120-second expiry, so we renew it by calling renewExpiringResponseData.. This trigger the didProvideRenewingContentKeyRequest delegate and we respond with updated CKC. However, when streaming via AirPlay, both video and audio freeze exactly after 120 seconds. To validate the issue, I tested with AVAssetResourceLoaderDelegate and found that I can reproduce the same freeze if I do not renew the key. This suggests that AirPlay is not accepting the renewed CKC when using AVContentKeySession. Additional Details: This issue occurs across different iOS versions and various AirPlay devices. The same content plays without issues when played directly on the device. The renewal process is successful, and segments continue to load, but playback remains frozen. Tried renewing the CKC bit early (100s). I also tried setting player.usesExternalPlaybackWhileExternalScreenIsActive = true, but the issue persists. We don't use persistentKey. Is there anything else that needs to be considered for proper key renewal when AirPlaying? Any help on how to fix this or confirmation if this is a known issue would be greatly appreciated.

Hello, Is there a way to handle 403 error returned by the server, eg token expired ? Cannot find any information about this and everything that I tried wasn't working (addObserver, NotificationCenter with .AVPlayerItemNewErrorLogEntry, AVPlayerItemPlaybackStalled, ...) Thank you very much.

Are serialized parameters already available inside -pluginInstanceAddedToDocument via FxParameterRetrievalAPI or are they being read later?

I'm working on an application that uses the iPhone camera for scientific purposes - and, as a result would like to receive video in as unprocessed format as possible. In particular, I'm interested in getting pixel buffers that contain pretty much the bayer data as the sensor sees it - with the minimum processing of color possible. Currently we configure the AVCaptureDevice to fix the focus and exposure, use a low ISO with no gain and set the white balance gains to 1. AVCaptureVideoDataOutput is using 32BGRA. What I'd like to do is remove any additional color and brightness processing such that the data is effectively processed with a linear transfer function (i.e. gamma function is 1). I thought that this might be down to using the AVCaptureDevice activeColorSpace - we currently use P3_D65 for this. But there only seems to be a few choices (e.g. sRGB, HLG_BT2020) all of which I think affect the gamma. So: is it possible to control or specify the gamma / transfer function when using CaptureVideoDelegate? if not, does one of the color space settings have a defined gamma function that I can effectively reverse it from the pixel data without losing too much information? or is there a better way to capture video-ish speed images (15-30fps) from the camera sensor that skips processing like this? Many thanks for any suggestions.

I have an app that has a WKWebView for watching YouTube videos. When the videos are windowed the audio seems fine, positionally as well. All perfectly. When I fullscreen the video and it goes into the native visionOS video player the audio messes up. It will suddenly sound like it is in your ears, or maybe even just one ear channel, or the position will be wrong. It might be fine for a moment but the second I touch the controls or move the window the sound jumps across the room, away from the window, or switches to stereo. Sometimes exiting windows entirely you will still hear the videos playing. Even if you open the window back up and go to another screen and open another video, now you hear 2 videos playing at the same time with no way to stop the first one in the background, requiring to force restart the app. It is all sorts of glitchy. I haven't the slightest clue what is happening here. I am strongly feeling this is a visionOS bug. I tried using AVAudioSession to change some of the sound settings, and that makes zero difference in behavior. Multiple testers have also reported this behavior and it has been seen on both visionOS 2.3 and 2.4 betas. Thanks for the help! This is driving me mad! It is extremely consistent behavior!

I was advised to post here by a Code-Level Support representative. Below will be a copy of my initial issue report, and my minimally reproductive test project can be found at the following GitHub repository URL... https://github.com/PierceLBrooks/vtUudSeiNalCmake DESCRIPTION OF PROBLEM When encoding H264 video codec data using the VTCompressionSession API facilities available through the VideoToolbox framework on MacOS, the resultant bitstream will invariably include Unregistered User Data SEI NAL units that carry the UUID "47564adc-5c4c-433f-94ef-c5113cd143a8". The proprietary decoders we are working with currently struggle with filtering out these NAL units. Can you explain what purpose this serves, what the meaning of the byte-wise unit payloads are, and which configuration settings the VideoToolbox encoder instance specifically depends upon for triggering the insertion of them? STEPS TO REPRODUCE 1. Invoke the instantiation of a new VideoToolbox H264 encoder object by calling VTCompressionSessionCreate with appropriate configuration flags. 2. Push frames through the encoder, receiving their encoded byte buffer counterparts through an asynchronous callback. 3. Write that encoded data to some buffer which will contain the totality of the encoder's output. 4. Inspect the NAL units of the initial portion of this output bitstream buffer. 5. Observe the presence of at least one Unregistered User Data SEI NAL unit carrying the "47564adc-5c4c-433f-94ef-c5113cd143a8" UUID near the beginning of the output segment.

Dear Developers and DTS team, This is writing to seek your expert guidance on a persistent memory leak issue I've discovered while implementing video playback in a SwiftUI application. Environment Details: iOS 17+, Swift (SwiftUI, AVKit), Xcode 16.2 Target Devices: iPhone 15 Pro (iOS 18.3.2) iPhone 16 Plus (iOS 18.3.2) Detailed Issue Description: I am experiencing consistent memory leaks when using UIViewControllerRepresentable with AVPlayerViewController for FullscreenVideoPlayer and native VideoPlayer during video playback termination. Code Context: I have implemented the following approaches: Added static func dismantleUIViewController(: coordinator:) Included deinit in Coordinator Utilized both UIViewControllerRepresentable and native VideoPlayer /// A custom AVPlayer integrated with AVPlayerViewController for fullscreen video playback. /// /// - Parameters: /// - videoURL: The URL of the video to be played. struct FullscreenVideoPlayer: UIViewControllerRepresentable { // @Binding something for controlling fullscreen let videoURL: URL? func makeUIViewController(context: Context) -> AVPlayerViewController { let controller = AVPlayerViewController() controller.delegate = context.coordinator print("AVPlayerViewController created: \(String(describing: controller))") return controller } /// Updates the `AVPlayerViewController` with the provided video URL and playback state. /// /// - Parameters: /// - uiViewController: The `AVPlayerViewController` instance to update. /// - context: The SwiftUI context for updates. func updateUIViewController(_ uiViewController: AVPlayerViewController, context: Context) { guard let videoURL else { print("Invalid videoURL") return } // Initialize AVPlayer if it's not already set if uiViewController.player == nil || uiViewController.player?.currentItem == nil { uiViewController.player = AVPlayer(url: videoURL) print("AVPlayer updated: \(String(describing: uiViewController.player))") } // Handle playback state } func makeCoordinator() -> Coordinator { Coordinator(parent: self) } static func dismantleUIViewController(_ uiViewController: AVPlayerViewController, coordinator: Coordinator) { uiViewController.player?.pause() uiViewController.player?.replaceCurrentItem(with: nil) uiViewController.player = nil print("dismantleUIViewController called for \(String(describing: uiViewController))") } } extension FullscreenVideoPlayer { class Coordinator: NSObject, AVPlayerViewControllerDelegate { var parent: FullscreenVideoPlayer init(parent: FullscreenVideoPlayer) { self.parent = parent } deinit { print("Coordinator deinitialized") } } } struct ContentView: View { private let videoURL: URL? = URL(string: "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4") var body: some View { NavigationStack { Text("My Userful View") List { Section("VideoPlayer") { NavigationLink("FullscreenVideoPlayer") { FullscreenVideoPlayer(videoURL: videoURL) .frame(height: 500) } NavigationLink("Native VideoPlayer") { VideoPlayer(player: .init(url: videoURL!)) .frame(height: 500) } } } } } } Reproducibility Steps: Run application on target devices Scenario A - FullscreenVideoPlayer: Tap FullscreenVideoPlayer Play video to completion Repeat process 5 times Scenario B - VideoPlayer: Navigate back to main screen Tap Video Player Play video to completion Repeat process 5 times Observed Memory Leak Characteristics: Per Iteration (Debug Memory Graph): 4 instances of NSMutableDictionary (Storage) leaked 4 instances of __NSDictionaryM leaked 4 × 112-byte malloc blocks leaked Cumulative Effects: Debug console prints: "dismantleUIViewController called for <AVPlayerViewController: 0x{String}> Coordinator deinitialized" when navigate back to main screen After multiple iterations, leak instances double Specific Questions: What underlying mechanisms are causing these memory leaks in UIViewControllerRepresentable and VideoPlayer? What are the recommended strategies to comprehensively prevent and resolve these memory management issues?

I am working on a project for macOS where I am taking an AVCaptureSession's CVPixelBuffer and I need to convert it into a MTLTexture for rendering. On macOS the pixel format is 2vuy, there does not seem to be a clear format conversion while converting to a metal texture. I have been able to convert it to a texture but the color space seems to be off as it is rendering distorted colors with a double image. I believe 2vuy is a single pane color space and I have tried to account for that, but I am unaware of what is off. I have attached The CVPixelBuffer and The distorted MTLTexture along with a laundry list of errors. On iOS my conversions are fine, it is only the macOS 2vuy pixel format that seems to have issues. My code for the conversion is also attached. If there are any suggestions or guidance on how to properly convert a 2vuy CVPixelBuffer to a MTLTexture I would greatly appreciate it. Many Thanks Conversion_Logs.txt ConversionCode.swift

I am working on a project for macOS where I am taking an AVCaptureSession's CVPixelBuffer and I need to convert it into a MTLTexture for rendering. On macOS the pixel format is 2vuy, there does not seem to be a clear format conversion while converting to a metal texture. I have been able to convert it to a texture but the color space seems to be off as it is rendering distorted colors with a double image. I believe 2vuy is a single pane color space and I have tried to account for that, but I am unaware of what is off. I have attached The CVPixelBuffer and The distorted MTLTexture along with a laundry list of errors. On iOS my conversions are fine, it is only the macOS 2vuy pixel format that seems to have issues. My code for the conversion is also attached. If there are any suggestions or guidance on how to properly convert a 2vuy CVPixelBuffer to a MTLTexture I would greatly appreciate it. Many Thanks Conversion_Logs.txt ConversionCode.swift

When I play an m3u8 video using AVPlayer, it can play smoothly at 2x speed. However, when I set it to 3x speed, the playback is not smooth and there is no sound.

I'm using an AVCaptureSession to send video and audio samples to an AVAssetWriter. When I play back the resultant video, sometimes there is a significant lag between the audio compared with the video, so they're just not in sync. But sometimes they are, with the same code. If I look at the very first presentation time stamps of the buffers being sent to the delegate, via func captureOutput(_: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) I see something like this: Adding audio samples for pts time 227711.0855328798, Adding video samples for pts time 227710.778785374 That is, the clock for audio vs video is behind: the first audio sample I receive is at 11.08 something, while the video video sample is earlier in time, at 10.778 something. The times are the presentation time stamps of the buffer, and the outputPresentationTimeStamp is the exact same number. It feels like "video" vs the "audio" clock are just mismatched. This doesn't always happen: sometimes they're synced. Sometimes they're not. Any ideas? The device I'm recording is a webcam, on iPadOS, connected via the usb-c port.

Short summary When setting exposureMode to .locked or .custom the brightness of a video stream still changes depending on the composition and contrast of the visible scene. These changes seem to come from contrast enhancements or dynamic range optimizations and totally break any analysis of the image that requires to assess absolute luminance. While exposure lock seems to indeed lock the physical exposure parameters of the camera (shutter speed and ISO), I cannot find any way to control these "soft" modifiers. Details Background I am the developer of the app "phyphox", an educational app that makes the phone's sensors accessible to students as measurement tools in science experiments. Currently I am working on implementing photometric measurements through the camera and one very important aspect of it is luminance measurements. This is particularly relevant since the light sensor of the phone has no publicly accessible API and the camera could to some extend make experiments available to Apple users that are otherwise only possible on Android devices. Implementation The app uses AVFoundation and explicitly picks individual cameras since camera groups do not support custom exposure settings. This means that it handles camera switching during zoom by itself and even implements its own auto exposure routines to optimize for the use in experiments. Therefore it always stays in custom exposure mode. The app uses YUV420 color space and the individual frames are analyzed in Metal using compute shaders. However, the effects discussed here still occur if I remove all code to control the camera and replace it with a simple sequence of setting the exposure mode to custom, setting custom exposure values, setting a fixed white balance and then setting the exposure mode to locked as suggested on stackoverflow. This neither helps on an iPhone 14 Pro nor on an iPhone 8 despite a report on the developer forums that it would resolve the issue for older devices. The app is open source, so the code can be seen in our current development branch (without the changes for the tests here, though) on github. The videos below use the implementation with the suggestion from stackoverflow, but they can be reproduced in the same way with "professional" camera apps that promise manual control over the camera (like the Blackmagic cam to quote a reputable company) as well as the stock camera app after pressing and holding on the preview to enable AE/AF lock. Demonstration These examples were captured on an iPhone 14 Pro. The central part of the image (highlighted by the app using metal shaders after capture) should not change with fixed exposure settings, but significant changes are noticable if there are changes at the edge of the frame when I move a black piece of cardboard in from above: https://share.icloud.com/photos/0b1f_3IB6yAQG-qSH27pm6oDQ The graph above the camera preview is the average luminance (gamma corrected and weighted based on sRGB) across the highlighted central area and as mentioned before it should not change because of something happening at the side of the frame (worst case it should get a bit darker because of the cardboard's shadow). In my opinion, the iPhone changes its mind on the ideal contrast as soon as it has a different exposure histogram because of the dark image part from the cardboard, but that's just me guessing. For completeness here is the same effect in the stock camera app with AE/AF lock enabled: https://share.icloud.com/photos/0cd7QM8ucBZKwPwE9mybnEowg Here you can also see that the iPhone "ramps" the changes. The brightness of the gray area does not change immediately but transitions smoothly, so this is clearly deliberate postprocessing. So... Any suggestion on how to prevent this behavior would be highly appreciated.

I am doing something similar to this post Within an AVCaptureDataOutputSynchronizerDelegate method, I create a pixelBuffer using CVPixelBufferCreate with the following attributes: kCVPixelBufferIOSurfacePropertiesKey as String: true, kCVPixelBufferIOSurfaceOpenGLESTextureCompatibilityKey as String: true When I copy the data from the vImagePixelBuffer "rotatedImageBuffer", I get the following error: Thread 10: EXC_BAD_ACCESS (code=1, address=0x14caa8000) I get the same error with memcpy and data.copyBytes (not running them at the same time obviously). If I use CVPixelBufferCreateWithBytes, I do not get this error. However, CVPixelBufferCreateWithBytes does not let you include attributes (see linked post above). I am using vImage because I need the original CVPixelBuffer from the camera output and a rotated version with a different color scheme. // Copy to pixel buffer let attributes: NSDictionary = [ true : kCVPixelBufferIOSurfacePropertiesKey, true : kCVPixelBufferIOSurfaceOpenGLESTextureCompatibilityKey, ] var colorBuffer: CVPixelBuffer? let status = CVPixelBufferCreate(kCFAllocatorDefault, Int(rotatedImageBuffer.width), Int(rotatedImageBuffer.height), kCVPixelFormatType_32BGRA, attributes, &colorBuffer) //let status = CVPixelBufferCreateWithBytes(kCFAllocatorDefault, Int(rotatedImageBuffer.width), Int(rotatedImageBuffer.height), kCVPixelFormatType_32BGRA, rotatedImageBuffer.data, rotatedImageBuffer.rowBytes, nil, nil, attributes as CFDictionary, &colorBuffer) // does NOT produce error, but also does not have attributes guard status == kCVReturnSuccess, let colorBuffer = colorBuffer else { print("Failed to create buffer") return } let lockFlags = CVPixelBufferLockFlags(rawValue: 0) guard kCVReturnSuccess == CVPixelBufferLockBaseAddress(colorBuffer, lockFlags) else { print("Failed to lock base address") return } let colorBufferMemory = CVPixelBufferGetBaseAddress(colorBuffer)! let data = Data(bytes: rotatedImageBuffer.data, count: rotatedImageBuffer.rowBytes * Int(rotatedImageBuffer.height)) data.copyBytes(to: colorBufferMemory.assumingMemoryBound(to: UInt8.self), count: data.count) // Fails here //memcpy(colorBufferMemory, rotatedImageBuffer.data, rotatedImageBuffer.rowBytes * Int(rotatedImageBuffer.height)) // Also produces the same error CVPixelBufferUnlockBaseAddress(colorBuffer, lockFlags)

As of iOS 18, as far as I can tell, it appears there's still no AVPlayer options that allow users to toggle the caption / subtitle track on and off. Does anyone know of a way to do this with AVPlayer or with SwiftUI's VideoPlayer? The following code reproduces this issue. It can be pasted into an app playground. This is a random video and a random vtt file I found on the internet. import SwiftUI import AVKit import UIKit struct ContentView: View { private let video = URL(string: "https://server15700.contentdm.oclc.org/dmwebservices/index.php?q=dmGetStreamingFile/p15700coll2/15.mp4/byte/json")! private let captions = URL(string: "https://gist.githubusercontent.com/samdutton/ca37f3adaf4e23679957b8083e061177/raw/e19399fbccbc069a2af4266e5120ae6bad62699a/sample.vtt")! @State private var player: AVPlayer? var body: some View { VStack { VideoPlayerView(player: player) .frame(maxWidth: .infinity, maxHeight: 200) } .task { // Captions won't work for some reason player = try? await loadPlayer(video: video, captions: captions) } } } private struct VideoPlayerView: UIViewControllerRepresentable { let player: AVPlayer? func makeUIViewController(context: Context) -> AVPlayerViewController { let controller = AVPlayerViewController() controller.player = player controller.modalPresentationStyle = .overFullScreen return controller } func updateUIViewController(_ uiViewController: AVPlayerViewController, context: Context) { uiViewController.player = player } } private func loadPlayer(video: URL, captions: URL?) async throws -> AVPlayer { let videoAsset = AVURLAsset(url: video) let videoPlusSubtitles = AVMutableComposition() try await videoPlusSubtitles.add(videoAsset, withMediaType: .video) try await videoPlusSubtitles.add(videoAsset, withMediaType: .audio) if let captions { let captionAsset = AVURLAsset(url: captions) // Must add as .text. .closedCaption and .subtitle don't work? try await videoPlusSubtitles.add(captionAsset, withMediaType: .text) } return await AVPlayer(playerItem: AVPlayerItem(asset: videoPlusSubtitles)) } private extension AVMutableComposition { func add(_ asset: AVAsset, withMediaType mediaType: AVMediaType) async throws { let duration = try await asset.load(.duration) try await asset.loadTracks(withMediaType: mediaType).first.map { track in let newTrack = self.addMutableTrack(withMediaType: mediaType, preferredTrackID: kCMPersistentTrackID_Invalid) let range = CMTimeRangeMake(start: .zero, duration: duration) try newTrack?.insertTimeRange(range, of: track, at: .zero) } } }

I'm capturing video stream from GoPro camera (I demux UDP MPEG-TS packets) and create CMSampleBuffers from them, this works fine when I display them using CMSampleBufferLayer. However when I dump them to disk using AVAssetWriter and then playback it with AVPlayer, AVPlayer has problems with scrubbing, it also cannot render previous frames, it needs to go back to key frames. Also thumbnails generated with AVAssetImageGenerator are mostly distorted and green, even though I set the requestedTimeToleranceAfter longer than the key frames frequency. When I re-encode saved video once again with AVAssetExportSession and play it back then I can scrub the video just fine. Is it because re-transcoding adds additional metadata to enable generating frames when rewinding the video and scrubbing? If so is there a way to achieve it with AVAssetWriter without much time penalty? I need the dump/save operation to be very fast. I also considered the following: Instead of de-muxing video and creating CMSampleBuffers, maybe I could directly dump the stream to disk and somehow add moov atoms with timing information. Would this approach work? If so where I can find information how to do it? Thank you!

How can I setup correctly AVSampleBufferDisplayLayer for video display when I have input picture format kCVPixelFormatType_32BGRA? Currently video i visible in simulator, but not iPhone, miss I something? Render code: var pixelBuffer: CVPixelBuffer? let attrs: [String: Any] = [ kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_32BGRA, kCVPixelBufferWidthKey as String: width, kCVPixelBufferHeightKey as String: height, kCVPixelBufferBytesPerRowAlignmentKey as String: width * 4, kCVPixelBufferIOSurfacePropertiesKey as String: [:] ] let status = CVPixelBufferCreateWithBytes( nil, width, height, kCVPixelFormatType_32BGRA, img, width * 4, nil, nil, attrs as CFDictionary, &pixelBuffer ) guard status == kCVReturnSuccess, let pb = pixelBuffer else { return } var formatDesc: CMVideoFormatDescription? CMVideoFormatDescriptionCreateForImageBuffer( allocator: nil, imageBuffer: pb, formatDescriptionOut: &formatDesc ) guard let format = formatDesc else { return } var timingInfo = CMSampleTimingInfo( duration: .invalid, presentationTimeStamp: currentTime, decodeTimeStamp: .invalid ) var sampleBuffer: CMSampleBuffer? CMSampleBufferCreateForImageBuffer( allocator: kCFAllocatorDefault, imageBuffer: pb, dataReady: true, makeDataReadyCallback: nil, refcon: nil, formatDescription: format, sampleTiming: &timingInfo, sampleBufferOut: &sampleBuffer ) if let sb = sampleBuffer { if CMSampleBufferGetPresentationTimeStamp(sb) == .invalid { print("Invalid video timestamp") } if (displayLayer.status == .failed) { displayLayer.flush() } DispatchQueue.main.async { [weak self] in guard let self = self else { print("Lost reference to self drawing") return } displayLayer.enqueue(sb) } frameIndex += 1 }

I have a crash related to playing video in AVPlayerViewController and AVQueuePlayer. I download the video locally from the network and then initialize it using AVAsset and AVPlayerItem. Can't reproduce locally, but crashes occur from firebase crashlytics only for users starting with iOS 18.4.0 with this trace: Crashed: com.apple.avkit.playerControllerBackgroundQueue 0 libobjc.A.dylib 0x1458 objc_retain + 16 1 libobjc.A.dylib 0x1458 objc_retain_x0 + 16 2 AVKit 0x12afdc __77-[AVPlayerController currentEnabledAssetTrackForMediaType:completionHandler:]_block_invoke + 108 3 libdispatch.dylib 0x1aac _dispatch_call_block_and_release + 32 4 libdispatch.dylib 0x1b584 _dispatch_client_callout + 16 5 libdispatch.dylib 0x6560 _dispatch_continuation_pop + 596 6 libdispatch.dylib 0x5bd4 _dispatch_async_redirect_invoke + 580 7 libdispatch.dylib 0x13db0 _dispatch_root_queue_drain + 364 8 libdispatch.dylib 0x1454c _dispatch_worker_thread2 + 156 9 libsystem_pthread.dylib 0x4624 _pthread_wqthread + 232 10 libsystem_pthread.dylib 0x19f8 start_wqthread + 8

I have added some custom views on my pip. These controls disappeared after opening the camera in the Xcode16 environment and iOS 18 system, and it was found that these custom views were not removed and seemed to be obscured. They were displayed normally in the Xcode15.4 environment. I would like to ask how to make my custom views display normally

I have added some custom views on my pip. These controls disappeared after opening the camera in the Xcode16 environment and iOS 18 system, and it was found that these custom views were not removed and seemed to be obscured. They were displayed normally in the Xcode15.4 environment. I would like to ask how to make my custom views display normally